Motion Comparison System for Real-Time Feedback
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Solution Overview
Problem
Current wearable devices are limited in tracking complex motions and provide only 'after-the-fact' statistics, which are not useful for improving technique or reducing injury risk in activities like yoga, fitness, and tennis, as they lack real-time feedback and authoritative coaching.
Innovation Solution
A system and method using sensorized electronic garments with embedded sensors and conductive wires for real-time motion capture and comparison with instructor data, providing immediate feedback and coaching through a mobile application, allowing users to compare their motions with those of an instructor in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple statistics tracking (step count, calories, heart rate) is provided by wearable devices, then device complexity is reduced and ease of operation is improved, but measurement precision and reliability of motion analysis deteriorate for complex activities
Solution Approach 1:
The system segments motion analysis into multiple components by using multiple sensors (accelerometers, gyroscopes, magnetometers) positioned at different locations on the body, each capturing specific motion parameters. This segmentation allows comprehensive analysis of complex motions while maintaining ease of use through automated processing.
Solution Approach 2:
The patent introduces an intermediary processing system that bridges simple sensor data collection and complex motion analysis. The system uses algorithmic processing and comparison with reference motions to transform basic sensor readings into precise motion quality assessments, maintaining ease of operation while improving measurement precision.
2Measurement precision
If multiple sensors are embedded in eGarments to capture complex motions, then measurement precision and reliability are improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The eGarment is designed as a universal platform that can capture multiple types of motions (yoga, fitness, golf, tennis) using the same sensor array and processing system. This multi-functionality allows the system to achieve high measurement precision across diverse activities without requiring separate manufacturing processes for each application.
Solution Approach 2:
The system achieves different measurement precision levels for different activities by dynamically adjusting processing parameters and selecting relevant sensor data subsets. This allows the same hardware configuration to be manufactured once while adapting to various motion types through software parameter changes rather than physical modifications.
3Loss of information
If real-time motion comparison with instructor is provided, then loss of information is reduced and measurement precision is improved, but device complexity and computational requirements increase
Solution Approach 1:
The system creates a digital copy of the user's motion through sensor data and compares it with reference motion data stored in the system. This copying approach allows real-time comparison with instructor motions without requiring complex communication infrastructure, reducing information loss while managing device complexity through efficient data representation.
Solution Approach 2:
The patent implements real-time feedback by continuously comparing user motion data with reference motions and providing immediate corrections. This feedback mechanism reduces information loss about motion quality by instantly identifying deviations from proper technique, while the computational complexity is managed through efficient comparison algorithms and selective analysis of critical motion parameters.
Data Source
AI summary
Techniques for showing comparisons between motions performed by a user and a chosen instructor are described. According to one aspect of the technique, an avatar is rendered in a computing device from attributes derived from the motions. A representation of similar motions performed by a chosen instructor is retrieved from a database. A display of the avatar next to the representation is then provided to show possible differences in poses or motions by the user and the instructor. The differences may be highlighted. The display is adjusted in a perspective view to help the user see clearly where to start or improve his moves in view of what the instructor is doing.